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Description Data Scientist/ Forward Deployed Engineer Overview Join a newly formed, executive-sponsored AI Transformation team focused on bringing AI solutions from concept to production across a large enterprise…
Build and deploy AI-powered applications for enterprise clients, integrating LLMs and Generative AI into production workflows using Python and TypeScript.
Principal Search Architect designs and scales massive Elasticsearch clusters for Fortune 500 clients, integrating AI-powered semantic search and optimizing distributed systems for high-performance retrieval.
Principal Search Architect designs and scales massive Elasticsearch clusters for Fortune 500 clients, integrating AI-powered semantic search and optimizing distributed retrieval systems.
Principal Product Manager to define the vision and roadmap for Elastic's Agent Builder, enabling enterprises to build, manage, and scale context for AI agents using Elastic's search and AI platform.
Leads strategy and roadmap for Elastic’s embedding/reranking and vector database, shaping search/AI tech for Fortune 500 clients. Owns vision, technical trade-offs, and cross-team alignment for vector indexing, retrieval quality, and developer-facing APIs.
Principal Product Manager to define and execute the vision for Elastic's Agent Builder, enabling enterprises to build, manage, and scale context for AI agents using Elastic's search and AI platform.
Leads strategy and roadmap for Elastic’s embedding/reranking and vector database technologies, shaping AI-driven search solutions for Fortune 500 clients. Bridges technical teams (engineering/research) to define metrics (recall, latency, cost) and align product vision with market demands.
The Principal Data Engineer will lead the design, build, and continuous improvement of Breedon Group's enterprise data platform using Microsoft Azure, Databricks, and Microsoft Fabric. This role involves establishing engineering standards, mentoring the team, and supporting AI-driven data workflows.
Design and maintain multi-cloud infrastructure for enterprise AI agents, focusing on reliability, security, and observability across AWS, GCP, and Azure.
True Zero Technologies, a veteran-owned small business, was founded on the principle that the purposeful enablement of people and technology in an organization directly ties to the quality of its outcomes. True Zero…
ООО "Сбербанк-Сервис" - дочернее общество ПАО Сбербанк. В настоящее время компания является одной из крупнейших IT- сервисных компаний России, с присутствием во всех федеральных округах РФ, в том числе и в…
AI Architect designing and implementing AI/ML solutions on-site in Charlotte, working with LLMs, RAG, vector databases, and cloud AI services using Python and frameworks like LangChain.
Builds and maintains cloud infrastructure, MLOps pipelines, and AI deployment frameworks for connected kitchen appliances using AWS, Terraform, and Kubernetes.
Position Title: Full Stack Engineer Location: Remote — EST Time Zone Employment Type: Full-Time, Salaried Exempt Schedule: Monday–Friday About the Opportunity Cascadience, a VIABILITY Company, is building Volio , an…
LSports is a world-leading sports data provider, trusted by sportsbooks worldwide to deliver real-time data with unmatched accuracy and reliability. With technology that drives smarter trading and deeper engagement, we…
Salary: £? - ? per year Requirements: We are looking for an experienced AI Engineer or Generative AI Engineer with strong hands-on experience across Generative AI, Large Language Models, Retrieval-Augmented Generation,…
The Junior DevOps Engineer will maintain infrastructure, manage CI/CD pipelines, and support incident resolution using cloud platforms, Linux, and Infrastructure as Code tools. The role involves collaborating with cross-functional teams to ensure secure and efficient deployment processes.
Senior Full Stack Developer building and enhancing the ABS+ enterprise product using .NET, C#, SQL Server, and AI technologies (LLMs, RAG, AI Agents) at BearingPoint's product development team in Romania.
Backend Engineer with strong applied ML experience to build production systems that extract, enrich, summarise and structure information from emails, documents and other unstructured data using Python backend services around NLP, retrieval and LLM-powered workflows.
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